When we use the crosstab function on the columns gym_frequency and occupation, we find that gym frequency varies across different occupations. To fill in the missing values in this column, we can use the most frequent gym frequency among members of each occupation. For instance, if a person has an occupation of Artist and their gym frequency is missing, we can replace it with the most frequently occurring gym frequency among all Artist instances in the data frame. After imputing all missing values, complete the table with this information. gym_frequency